Edoardo Arnaudo's Projects
Agriculture Vision Workshop 2022
Typed command line interfaces with argparse and pydantic
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
Typed Command Line Interfaces powered by Click and Pydantic
Contrastive Distillation for Incremental Class Learning in Semantic Segmentation
Implementation of common Computer vision deep learning models
Mixed set of tools and functionalities for Computer Vision, GIS and Earth Observation applications
Samples designed as exercises to be ported from Unity GameObjects/MonoBehaviours to Unity DOTS.
A fast and reliable background task processing library for Python 3.
My profile
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Grafana Map Panel with improved convenience, robustness and features, actively maintained
My launch point for the nvim configuration
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Simple syntax highlighting for Answer Set Programming, in particular gringo, clasp and clingo.
Personal template for semantic segmentation and similar tasks
Rough draft of a multiplayer lockstep model for Unity, networked thanks to the LiteNetLib library.
API samples for iMETOS weather station data and services.
Flood delineation from Sentinel-1 SAR imagery
Modelling the background on multispectral aerial imagery
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Gateway API using spring Boot and Netflix Zuul